Nathan Majewski

2.3k citations
7 papers · 1.9k indexed · 2 hit papers · h-index 7

Nathan Majewski

7 papers receiving 1.9k citations

Hit Papers

Hexokinase-Mitochondria Interaction Mediated by Akt Is Re...5242001202620092017250500750

Peers

Nathan Majewski
Comparison fields: 5 of 89
  • Cancer Research 659
  • Molecular Biology 1.5k
  • Clinical Biochemistry 61
  • Cell Biology 145
  • Oncology 239
Replace Kathrin Gottlob with:
Kathrin Gottlob United States
D. Dubik Canada
Seung Bae Rho South Korea
Kristin K. Nelson United States
Yanhua Zheng China
Francesca Grespi Italy
Angelina V. Vaseva United States
Dongmei Zuo Canada
Prashanth T. Bhaskar United States
María Nieves Calvo Vidal Spain
Nathan Majewski relative to Kathrin Gottlob United States Kathrin Gottlob's profile →
Citations per field
00.5×1.5×
Kathrin Gottlob · 1×
Citations per year

Countries citing papers authored by Nathan Majewski

Since Specialization
Citations

This map shows the geographic impact of Nathan Majewski's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nathan Majewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Majewski more than expected).

Fields of papers citing papers by Nathan Majewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan Majewski. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nathan Majewski. The network helps show where Nathan Majewski may publish in the future.

Co-authorship network

The 24 scholars most cited alongside Nathan Majewski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nathan Majewski Line = papers co-authored together Nathan Majewski links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 200910
2 200927
3
Hexokinase-Mitochondria Interaction Mediated by Akt Is Required to Inhibit Apoptosis in the Presence or Absence of Bax and Bakbreakdown →
2004524
4 200376
5 2003239
6 2002238
7
Inhibition of early apoptotic events by Akt/PKB is dependent on the first committed step of glycolysis and mitochondrial hexokinasebreakdown →
2001773

About Nathan Majewski

Nathan Majewski is a scholar working on Cancer Research, Molecular Biology, Epidemiology, Pathology and Forensic Medicine and Immunology, having authored 7 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (4 papers), Autophagy in Disease and Therapy (2 papers), Pancreatic function and diabetes (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Natural product bioactivities and synthesis (2 papers), Biochemical and Molecular Research (1 paper), Cancer-related Molecular Pathways (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Cancer Research (659 citations), Molecular Biology (1.5k citations), Clinical Biochemistry (61 citations), Cell Biology (145 citations) and Oncology (239 citations). Nathan Majewski has collaborated with scholars based in United States. Frequent co-authors include Nissim Hay, R. Brooks Robey, Kathrin Gottlob, Eugene Kandel, Scott Kennedy, Véronique Nogueira, Prashanth T. Bhaskar, Navdeep S. Chandel, Craig B. Thompson and Andrei L. Gartel. Their work appears in journals such as Molecular and Cellular Biology, Genes & Development, Molecular Cell, Bioorganic & Medicinal Chemistry Letters and Blood.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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